Data Analyst
Listed on 2026-03-05
-
IT/Tech
Data Analyst, Data Science Manager -
Finance & Banking
Join Us in Becoming the Best Bank in the World!!
We appoint energized and motivated people for their potential and continuously look for talented,driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proudofand earns the trust of our clients.
WhoWe Are
We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable, and delivered through a personal experience. By helping our clients manage their financial lives better, we enable them to live better.
Why choose UsAt Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.
PurposeStatement
- The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization. This role transforms data into actionable insights that support strategic decision-making, optimize operations, and drive business performance. By identifying trends, patterns, and opportunities, the role enables informed, data-driven decisions and contributes directly to the company’s strategic objective of being an insights-driven organization.
- NB. Length of experience required is conditional on the qualifications obtained but must include:
- Experience in data analysis, with a significant portion in the financial services or banking sector
- Proven track record of leading data analysis projects and driving business impact through data insights
- In using advanced data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
- Experience in performing complex data analysis and statistical modelling.
- Experience working with, guiding and providing subject matter expertise to cross‑functional teams (e.g., finance, marketing, IT) to understand business needs and provide data‑driven insights.
- Of communicating and presenting findings and recommendations to non‑technical stakeholders.
- Understanding of various financial products and services, industry trends, industry regulations and compliance requirements and their impact on financial data analysis
- Bachelor's Degree in Analytical/Data/Technical or Other
- Honours Degree in Analytical/Data/Technical or Other
- Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
- Expertise in advanced Excel functions, including macros and VBA.
- Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar.
- Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
- Strong understanding of statistical methods and their application in financial data analysis.
- Understanding of predictive analytics techniques and their application in financial analysis.
- Knowledge of data modelling techniques to structure and organize data effectively.
- Understanding of risk analysis methods and their application in financial services.
- Analytical Skills
- Communications Skills
- Problem solving skills
- Project Management Skills (Methodolgy Specific)
- Clear criminal and credit record
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